{
"item_title" : "Energy Efficiency and Robustness of Advanced Machine Learning Architectures",
"item_author" : [" Alberto Marchisio", "Muhammad Shafique "],
"item_description" : "This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks.
",
"item_img_path" : "https://covers2.booksamillion.com/covers/bam/1/03/287/013/1032870133_b.jpg",
"price_data" : {
"retail_price" : "68.99", "online_price" : "68.99", "our_price" : "68.99", "club_price" : "68.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : ""
}
}
Energy Efficiency and Robustness of Advanced Machine Learning Architectures : A Cross-Layer Approach
PRE-ORDER NOW:
local_shippingShip to Me
local_shippingShip to Me
Preorder. This item will be available on June 22, 2026 .
FREE Shipping for Club Members help
Overview
This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks.
This item is Non-Returnable
Customers Also Bought
Details
- ISBN-13: 9781032870137
- ISBN-10: 1032870133
- Publisher: CRC Press
- Publish Date: June 2026
- Dimensions: 10 x 7 x 0.75 inches
- Shipping Weight: 1.38 pounds
- Page Count: 347
Related Categories
